Dental Student Hand-Eye Coordination Assessment Data

Maheen Baloch's dataset assesses hand-eye coordination in BDS final-year students and House Officers. The 8.6 KB file contains metrics on time, accuracy, and precision for a standard clinical task. It was published on the figshare platform in April 2026.

Use Cases

• Correlate task completion time with participant role (student vs. house officer) to assess skill progression.
• Model the relationship between precision scores and accuracy metrics for the standard task.
• Analyze performance data to identify benchmarks for acceptable hand-eye coordination in dental training.
• Use time and accuracy fields to evaluate the challenge of indirect vision in simulated dental procedures.

Strengths

• Data is shared under a permissive CC-BY-4.0 license.
• Measures three specific dimensions: time, accuracy, and precision.

Limitations

• The dataset is very small at 8.6 KB, indicating a limited sample size.
• Specific row count, column names, and statistical summaries are unknown.
• Geographic and institutional origin of the participants is not specified.

Provenance

Source

Maheen Baloch via figshare.

Collection Method

Assessment based on a standard task performed by BDS final-year students and House Officers.

Freshness

Last updated in April 2026.